Performance during the AI-supported task consistently predicted performance on the subsequent AI-removal task across all writing dimensions¶

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Higher AI-support scores predicted independent performance on every rubric dimension and the composite, though this cannot distinguish learning from stable writing competence. → Yueqiao Jin 2025

Evidence¶

Yueqiao Jin 2025¶

Yueqiao Jin, Kaixun Yang, Roberto Martinez-Maldonado, Dragan Gašević and Lixiang Yan. (2025). The Agency Gap in AI-Supported Writing: How Reactive and Proactive Agent Designs Shape Multimodal Reasoning. https://arxiv.org/abs/2507.04398 doi:10.48550/arxiv.2507.04398

q2 · i? · causal · r2

Ordinal regression results section reports AI-support score as a significant predictor for all six outcomes with printed coefficients (e.g., Critical Thinking b=3.57, z=4.67, p<.001; Composite b=0.61, z=5.03, p<.001); the quoted sentence gives the authors' interpretation.

"This continuity indicates that students who performed well with support also tended to perform well immediately afterwards, although it cannot distinguish learning from stable differences in writing competence."

Discussion¶

Related Claims¶

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